Statistical analysis:
We employ the Friedman test [1]} to statistically analyze the relative performance among all comparing dataless methods. For each evaluation metric (i.e., Micro-F1 and Macro-F1), we report the Friedman test statistics \(F_F\)  (#comparing methods: \(l\) =5 and #evaluation results: \(n\) =40, i.e., 2 datasets with 2 seed word sets given 10 independent runs) and the critical value in Table REF . Obviously, the null hypothesis that all comparing methods perform equivalently is rejected at the significance level \(\alpha \, = \, 0.05\) .
